
% Table created by stargazer v.5.2 by Marek Hlavac, Harvard University. E-mail: hlavac at fas.harvard.edu
% Date and time: Fri, Apr 22, 2022 - 21:10:09
\begin{table}[!htbp] \centering 
  \caption{Full regression output for Table A-9} 
  \label{table_elec_robust_cl} 
\scriptsize 
\begin{tabular}{@{\hspace{5pt}}l@{\hspace{5pt}}ccccc} 
\toprule 
 & (1) & (2) & (3) & (4) & (5)\\ 
\midrule  
\\[-2.1ex] $\Delta\textrm{IPW}_{1900}$ & $-$0.018$^{***}$ & $-$0.017$^{***}$ & $-$0.011$^{**}$ & $-$0.019$^{***}$ & $-$0.015$^{**}$ \\ 
  & (0.006) & (0.006) & (0.005) & (0.006) & (0.006) \\ 
 \addlinespace 
 as.factor(year)1900 $\times$ const\_frac\_secondary & 0.096$^{*}$ & 0.022 & 0.130$^{*}$ & 0.106$^{*}$ &  \\ 
  & (0.053) & (0.072) & (0.071) & (0.056) & (0.000) \\ 
 \addlinespace 
 as.factor(year)1906 $\times$ const\_frac\_secondary & $-$0.062 & 0.016 & $-$0.024 & $-$0.049 & $-$0.400 \\ 
  & (0.051) & (0.038) & (0.045) & (0.057) & (0.308) \\ 
 \addlinespace 
 as.factor(year)1910 $\times$ const\_frac\_secondary & $-$0.087$^{***}$ & $-$0.048 & $-$0.079$^{***}$ & $-$0.081$^{***}$ & $-$0.171 \\ 
  & (0.027) & (0.048) & (0.028) & (0.028) & (0.272) \\ 
 \addlinespace 
 as.factor(year)1911 $\times$ const\_frac\_secondary &  &  &  &  & $-$0.199 \\ 
  & (0.000) & (0.000) & (0.000) & (0.000) & (0.317) \\ 
 \addlinespace 
 as.factor(year)1900 $\times$ const\_frac\_steel &  &  &  &  &  \\ 
  & (0.000) &  &  &  &  \\ 
 \addlinespace 
 as.factor(year)1906 $\times$ const\_frac\_steel & 1.852$^{***}$ &  &  &  &  \\ 
  & (0.537) &  &  &  &  \\ 
 \addlinespace 
 as.factor(year)1910 $\times$ const\_frac\_steel & 1.016 &  &  &  &  \\ 
  & (0.802) &  &  &  &  \\ 
 \addlinespace 
 as.factor(year)1911 $\times$ const\_frac\_steel & 0.406 &  &  &  &  \\ 
  & (0.763) &  &  &  &  \\ 
 \addlinespace 
 as.factor(year)1900 $\times$ const\_frac\_cotton &  & 0.306 &  &  &  \\ 
  &  & (0.214) &  &  &  \\ 
 \addlinespace 
 as.factor(year)1906 $\times$ const\_frac\_cotton &  & $-$0.221$^{***}$ &  &  &  \\ 
  &  & (0.060) &  &  &  \\ 
 \addlinespace 
 as.factor(year)1910 $\times$ const\_frac\_cotton &  & $-$0.127 &  &  &  \\ 
  &  & (0.077) &  &  &  \\ 
 \addlinespace 
 as.factor(year)1911 $\times$ const\_frac\_cotton &  &  &  &  &  \\ 
  &  & (0.000) &  &  &  \\ 
 \addlinespace 
 as.factor(year)1900 $\times$ const\_frac\_sugar &  &  & 15.650$^{***}$ &  &  \\ 
  &  &  & (4.501) &  &  \\ 
 \addlinespace 
 as.factor(year)1906 $\times$ const\_frac\_sugar &  &  & 7.325$^{*}$ &  &  \\ 
  &  &  & (3.880) &  &  \\ 
 \addlinespace 
 as.factor(year)1910 $\times$ const\_frac\_sugar &  &  & 2.140 &  &  \\ 
  &  &  & (2.546) &  &  \\ 
 \addlinespace 
 as.factor(year)1911 $\times$ const\_frac\_sugar &  &  &  &  &  \\ 
  &  &  & (0.000) &  &  \\ 
 \addlinespace 
 as.factor(year)1900 $\times$ const\_frac\_lace &  &  &  &  &  \\ 
  &  &  &  & (0.000) &  \\ 
 \addlinespace 
 as.factor(year)1906 $\times$ const\_frac\_lace &  &  &  & 0.889$^{***}$ &  \\ 
  &  &  &  & (0.279) &  \\ 
 \addlinespace 
 as.factor(year)1910 $\times$ const\_frac\_lace &  &  &  & 0.767$^{***}$ &  \\ 
  &  &  &  & (0.201) &  \\ 
 \addlinespace 
 as.factor(year)1911 $\times$ const\_frac\_lace &  &  &  & 0.751$^{***}$ &  \\ 
  &  &  &  & (0.165) &  \\ 
 \addlinespace 
 as.factor(year)1900 $\times$ PC1 &  &  &  &  &  \\ 
  &  &  &  &  & (0.000) \\ 
 \addlinespace 
 as.factor(year)1906 $\times$ PC1 &  &  &  &  & 0.184 \\ 
  &  &  &  &  & (0.231) \\ 
 \addlinespace 
 as.factor(year)1910 $\times$ PC1 &  &  &  &  & $-$0.086 \\ 
  &  &  &  &  & (0.201) \\ 
 \addlinespace 
 as.factor(year)1911 $\times$ PC1 &  &  &  &  & 0.039 \\ 
  &  &  &  &  & (0.237) \\ 
 \addlinespace 
 as.factor(year)1900 $\times$ PC2 &  &  &  &  &  \\ 
  &  &  &  &  & (0.000) \\ 
 \addlinespace 
 as.factor(year)1906 $\times$ PC2 &  &  &  &  & 0.141 \\ 
  &  &  &  &  & (0.372) \\ 
 \addlinespace 
 as.factor(year)1910 $\times$ PC2 &  &  &  &  & 0.074 \\ 
  &  &  &  &  & (0.324) \\ 
 \addlinespace 
 as.factor(year)1911 $\times$ PC2 &  &  &  &  & 0.090 \\ 
  &  &  &  &  & (0.378) \\ 
 \addlinespace 
 as.factor(year)1900 $\times$ PC3 &  &  &  &  &  \\ 
  &  &  &  &  & (0.000) \\ 
 \addlinespace 
 as.factor(year)1906 $\times$ PC3 &  &  &  &  & $-$0.673$^{*}$ \\ 
  &  &  &  &  & (0.392) \\ 
 \addlinespace 
 as.factor(year)1910 $\times$ PC3 &  &  &  &  & $-$0.337 \\ 
  &  &  &  &  & (0.341) \\ 
 \addlinespace 
 as.factor(year)1911 $\times$ PC3 &  &  &  &  & $-$0.317 \\ 
  &  &  &  &  & (0.338) \\ 
 \addlinespace 
\midrule  
Initial steel x year & x &  &  &  &  \\ 
Initial cotton x year &  & x &  &  &  \\ 
Initial sugar x year &  &  & x &  &  \\ 
Initial lace x year &  &  &  & x &  \\ 
Initial shares PCA x year &  &  &  &  & x \\ 
Observations & 1,578 & 1,578 & 1,578 & 1,578 & 1,578 \\ 
R$^{2}$ & 0.839 & 0.840 & 0.838 & 0.838 & 0.842 \\ 
Adjusted R$^{2}$ & 0.771 & 0.772 & 0.769 & 0.770 & 0.773 \\ 
\bottomrule 
\textit{Note:}  & \multicolumn{5}{l}{$^{*}$p$<$0.1; $^{**}$p$<$0.05; $^{***}$p$<$0.01} \\ 
 & \multicolumn{5}{l}{\parbox[t]{0.3\textwidth}{
        Constituency-level fixed effects regressions,
        for 1900--1910. Dependent variable is share of the vote for
        Conservative candidates.
        All models include constituency and year fixed effects, and initial
        manufacturing by year controls.
        (1) includes the share of employment in 1881 in sheet iron and
        steel interacted with year fixed effects, (2) does the same for
        employment in sheet zinc, (3) does the same for sugar,
        (4) does the same for lace. (5) adds
        the first three principal components for the 1881 industry shares
        interacted with year fixed effects.
        Standard errors clustered by county in parentheses.}} \\ 
\end{tabular} 
\end{table} 
